This podcast may not release new episodes anymore, and some audios may be broken.
Maybe this podcast has a new rss feed?
ABOUT THIS PODCAST 🔗
Outliers is a podcast that brings you stories and lessons from the frontlines of artificial intelligence and machine learning. We take you behind the scenes, featuring pioneers who are pushing the boundaries of what's possible and solving some of the world’s most complex challenges. From enterprise applications to cutting-edge research, we dive deep into the innovations shaping the future. Whether you're a seasoned data scientist, ML engineer, or simply curious about the evolving AI landscape, join us for conversations that uncover the breakthroughs, tools, and ideas driving the next wave of technology.
Hosts:
Average audio length:
54 minutes
Guest interviews
Has sponsors
English
United States
10 episodes
since Oct. 18, 2024
episodic
LATEST EPISODE 🔗
Federico Bianchi, a post-doctoral researcher at Stanford University, joins Hugo Bowne-Anderson to discuss the current state of large language models (LLMs) and their potential for sustainable business value. They explore the capabilities and limitations of LLMs, practical ways to get started with t…
PREVIOUS EPISODES 🔗
Ines Montani, co-founder and CEO of Explosion — the company behind spaCy and Prodigy — joins Hugo Bowne-Anderson to discuss the journey of taking NLP from prototype to production. They explore the key trends, use cases, and challenges that arise when building and scaling NLP systems, including insi…
Ethan Rosenthal, a data scientist at Square with a PhD in Physics from Columbia University, joins Hugo Bowne-Anderson to dive into the complexities of the full stack of machine learning. From feature stores to model monitoring and experiment tracking, Ethan sheds light on the essential tools, abstr…
Russell Brooks, Principal Machine Learning Engineer at Realtor.com, joins Hugo Bowne-Anderson to discuss what it takes to build an enterprise ML platform from scratch. Russell shares his experiences at OpCity and Realtor.com, where he successfully scaled their ML operations from a small team to rep…
This episode features Shreya Shankar, a PhD student at UC Berkeley and former ML engineer at Viaduct, Google Brain, and Facebook. Shreya joins Hugo Bowne-Anderson to discuss key insights from her team’s paper Operationalizing Machine Learning: An Interview Study, which uncovers common practices and…
This episode features a special panel discussion with Chip Huyen, co-founder and CEO of Claypot.io, and Ville Tuulos, co-founder and CEO of Outerbounds. They discuss their new books, Designing Machine Learning Systems and Effective Data Science Infrastructure, respectively, which aim to fill a grow…
In this episode, Michelle Carney, a Senior UX Researcher on Google’s TensorFlow team, joins Hugo Bowne-Anderson to discuss how combining ML and user experience (UX) creates more impactful products. Michelle shares why UX should be a top consideration for data scientists and ML practitioners and off…
Hugo Bowne-Anderson sits down with Jacopo Tagliabue, Director of A.I. at Coveo, to discuss "reasonable scale" machine learning. Unlike FAANG companies, most organizations don’t need to operate ML at enormous scale, and that’s perfectly okay. Jacopo and Hugo explore what ML looks like for most compa…
Hugo Bowne-Anderson chats with Goku Mohandas, founder of Made With ML and former machine learning engineer at Apple and Ciitizen. Together, they discuss the journey from laptop data science to deploying ML in production for both organizations and individual data scientists. You'll gain insights int…
Welcome to the very first episode of Outliers by Outerbounds! In this series, we explore the cutting edge of machine learning, data science, and MLOps, featuring insights from experts who are pushing the boundaries of AI and ML.
In this inaugural episode, Hilary Parker—data scientist and independe…
Disclaimer: The podcast and artwork embedded on this page are from Outerbounds, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.
PODCAST SEARCH ENGINE
You can use our website to search 3,824,406 podcasts and 195,749,769 episodes by people, places, or topics.
I have no special talent. I am only passionately curious, and
I listen to podcasts.
‐ Albert "Llamacorn" Einstein
CLAIM THIS PODCAST
Why to claim podcasts?
If you are a podcaster, the best way to manage your podcasts on Listen Notes is by claiming your Listen Notes
podcast pages.
It is a great, free way to engage the podcast community and increase the visibility of your podcasts.
After claiming your Listen Notes podcast pages, you will be able to:
✓
Manually refresh the RSS feed to sync up
✓
Get a verified badge (
✓
) alongside with your podcast name on Listen Notes
✓
Post classified ads for sponsorship,
guests, co-hosts,
cross-promotion...
✓
Respond to listener comments on Listen Notes
✓
Use speech-to-text techniques to transcribe your show and
edit transcripts
✓
Improve the presence of your podcasts, e.g., self-service
podcaster interview...
✓
If you share your Listen Notes page and at-mention @ListenNotes
on X (formerly Twitter),
our official X (formerly Twitter) account will retweet to promote
your show to our followers.
Coming soon:
◯ Self-service promotion on Listen Notes
◯ Track your podcast stats on Listen
Notes, e.g., listens, page
views...
◯ Manage episodes
EDIT
Thank you for helping to keep the podcast database up to date.
